This dataset accompanies the paper "Microstructured large-area photoconductive terahertz emitters driven at high average power"General data acquisition:THz is generated with the Microstructured large-area photoconductive terahertz emitters at room temperature. The excitation pump power is controlled by a motorized lambda/2-waveplate  in connection with a thin-film polarizer. The bias voltage is generated with a waveforgenerator (keysight 33500B) in combination with a voltage amplifier (Falco WMA-300). The probe beam for electro-optic sampling (EOS) is guided over an oscillating delay line, having a delay range of approximately 15 ps and a shaking frequency of 1 Hz, leading to 155 THz traces in over 78 s measurement time.THz traces obtained with EOS and a lock-in amplifier for low noise detection. THz average power is measured with a pyroelectric thin-film detector (THz 20, SLT GmbH) calibrated by the German Metrology Institute (PTB) and recorded with a lock-in amplifier for low noise detection. The recorded data via lock-in amplifier are saved as HDF-5 format.HDF-5 is an efficient (binary), cross-platform data format and can be read easily by i.e. Python or Matlab. The graphical user interface “HDFView” can be downloaded for free (after registration) from https://www.hdfgroup.org/downloads/hdfview/. It allows to explore the folder structure of an HDF-5 file but is not necessary when using Python or Matlab.The structure of a single HDF-5 from the uploaded raw data isA folder called "AI", standing for analog inputThe dataset "AI 1" stands for the first analog channel, containing the position of the scanning delay line. The voltage can be converted to “THz time” with a conversion factor, where 20 V corresponds to a 15 ps delay.The dataset “AI 2”, is a voltage signal from the transimpedance amplifier and is proportional to the THz electric field.There are additional attributes in the root-folder of the HDF-5 file.The processed data (used in the figures) can be found in the files labeled Fig. X in each folder there is a text file "read me" that explains about recording and reading the data.

This dataset accompanies the paper "Microstructured large-area photoconductive terahertz emitters driven at high average power"General data acquisition:THz is generated with the Microstructured large-area photoconductive terahertz emitters at room temperature. The excitation pump power is controlled by a motorized lambda/2-waveplate  in connection with a thin-film polarizer. The bias voltage is generated with a waveforgenerator (keysight 33500B) in combination with a voltage amplifier (Falco WMA-300). The probe beam for electro-optic sampling (EOS) is guided over an oscillating delay line, having a delay range of approximately 15 ps and a shaking frequency of 1 Hz, leading to 155 THz traces in over 78 s measurement time.THz traces obtained with EOS and a lock-in amplifier for low noise detection. THz average power is measured with a pyroelectric thin-film detector (THz 20, SLT GmbH) calibrated by the German Metrology Institute (PTB) and recorded with a lock-in amplifier for low noise detection. The recorded data via lock-in amplifier are saved as HDF-5 format.HDF-5 is an efficient (binary), cross-platform data format and can be read easily by i.e. Python or Matlab. The graphical user interface “HDFView” can be downloaded for free (after registration) from https://www.hdfgroup.org/downloads/hdfview/. It allows to explore the folder structure of an HDF-5 file but is not necessary when using Python or Matlab.The structure of a single HDF-5 from the uploaded raw data isA folder called "AI", standing for analog inputThe dataset "AI 1" stands for the first analog channel, containing the position of the scanning delay line. The voltage can be converted to “THz time” with a conversion factor, where 20 V corresponds to a 15 ps delay.The dataset “AI 2”, is a voltage signal from the transimpedance amplifier and is proportional to the THz electric field.There are additional attributes in the root-folder of the HDF-5 file.The processed data (used in the figures) can be found in the files labeled Fig. X in each folder there is a text file "read me" that explains about recording and reading the data.